text: # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  """Test configs for logic operators."""
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import tensorflow as tf
  from tensorflow.lite.testing.zip_test_utils import create_tensor_data
  from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
  from tensorflow.lite.testing.zip_test_utils import register_make_test_function
  
  
  def _make_logical_tests(op):
    """Make a set of tests to do logical operations."""
  
    def logical(options, expected_tf_failures=0):
      """Generate examples."""
      test_parameters = [{
          "input_shape_pair": [([], []), ([1, 1, 1, 3], [1, 1, 1, 3]),
                               ([2, 3, 4, 5], [2, 3, 4, 5]), ([2, 3, 3], [2, 3]),
                               ([5, 5], [1]), ([10], [2, 4, 10])],
      }]
  
      def build_graph(parameters):
        """Build the logical testing graph."""
        input_value1 = tf.compat.v1.placeholder(
            dtype=tf.bool, name="input1", shape=parameters["input_shape_pair"][0])
        input_value2 = tf.compat.v1.placeholder(
            dtype=tf.bool, name="input2", shape=parameters["input_shape_pair"][1])
        out = op(input_value1, input_value2)
        return [input_value1, input_value2], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
        input_value1 = create_tensor_data(tf.bool,
                                          parameters["input_shape_pair"][0])
        input_value2 = create_tensor_data(tf.bool,
                                          parameters["input_shape_pair"][1])
        return [input_value1, input_value2], sess.run(
            outputs, feed_dict=dict(zip(inputs, [input_value1, input_value2])))
  
      make_zip_of_tests(
          options,
          test_parameters,
          build_graph,
          build_inputs,
          expected_tf_failures=expected_tf_failures)
  
    return logical
  
  
  @register_make_test_function()
  def make_logical_or_tests(options):
    """Make a set of tests to do logical_or."""
    return _make_logical_tests(tf.logical_or)(options, expected_tf_failures=1)
  
  
  @register_make_test_function()
  def make_logical_and_tests(options):
    """Make a set of tests to do logical_and."""
    return _make_logical_tests(tf.logical_and)(options, expected_tf_failures=1)
  
  
  @register_make_test_function()
  def make_logical_xor_tests(options):
    """Make a set of tests to do logical_xor, test logical_not as well."""
    return _make_logical_tests(tf.math.logical_xor)(
        options, expected_tf_failures=1)
  